Cognitively-Inspired Salience Computation for Intelligent Agents. - Sterling Somers; Konstantinos Mitsopoulos; Christian Lebiere; Robert Thomson 001 (CogSci, 2019)

IoT-based smart triage of Covid-19 suspicious cases in the Emergency Department. - Barbara Fyntanidou; Maria Zouka; Aikaterini Apostolopoulou; Panagiotis D. Bamidis; Antonis Billis; Konstantinos Mitsopoulos; Pantelis Angelidis 001; Alexis Fourlis (GLOBECOM (Workshops), 2020)

Mining Online Social Media to Drive Psychologically Valid Agent Models of Regional Covid-19 Mask Wearing. - Peter Pirolli; Kathleen M. Carley; Adam Dalton 001; Bonnie J. Dorr; Christian Lebiere; Michael K. Martin; Brodie Mather; Konstantinos Mitsopoulos; Mark G. Orr; Tomek Strzalkowski (SBP-BRiMS, 2021)

Toward a Psychology of Deep Reinforcement Learning Agents Using a Cognitive Architecture. - Konstantinos Mitsopoulos; Sterling Somers; Joel Schooler; Christian Lebiere; Peter Pirolli; Robert Thomson 001 (Top. Cogn. Sci., 2022)

Reinforcement Learning-Based Optimal Control and Software Rejuvenation for Safe and Efficient UAV Navigation. - Angela Chen; Konstantinos Mitsopoulos; Raffaele Romagnoli (CDC, 2023)

A novel dermatological diagnosis support device based on Electrical Impedance Spectroscopy (DermaSense). - Alexandros Moraitopoulos; Konstantinos Mitsopoulos; Christina Kemanetzi; Elizabeth Lazaridou; Panagiotis D. Bamidis; Alexandros Astaras (MOCAST, 2023)

Masking Behaviors in Epidemiological Networks with Cognitively-plausible Reinforcement Learning. - Konstantinos Mitsopoulos; Lawrence Baker; Christian Lebiere; Peter Pirolli; Mark G. Orr; Raffaele Vardavas (CoRR, 2023)

NeuroSuitUp: System Architecture and Validation of a Motor Rehabilitation Wearable Robotics and Serious Game Platform. - Konstantinos Mitsopoulos; Vasiliki Fiska; Konstantinos Tagaras; Athanasios Papias; Panagiotis E. Antoniou; Konstantinos Nizamis; Konstantinos Kasimis; Paschalina-Danai Sarra; Diamanto Mylopoulou; Theodore Savvidis; Apostolos Praftsiotis; Athanasios Arvanitidis; et al. (Sensors, 2023)

Multi-Agent Reinforcement Learning with Control-Theoretic Safety Guarantees for Dynamic Network Bridging. - Raffaele Galliera; Konstantinos Mitsopoulos; Niranjan Suri; Raffaele Romagnoli (CoRR, 2024)